Data Analyst
WFA Digital Insight
The demand for skilled Data Analysts continues to soar, with a 25% increase in job openings over the past year. Truv, a well-funded startup, is at the forefront of revolutionizing verifications. With a strong focus on using cutting-edge tech and building frictionless user experiences, this role stands out in the current remote job market. As a Data Analyst, you'll have the opportunity to work with a talented team and make a significant impact. Before applying, candidates should be aware that a strong foundation in Excel, Python, and SQL is essential, as well as experience with data visualization tools and a keen eye for detail.
Job Description
About the Role
The Data Analyst role at Truv is a unique opportunity to join a small but mighty team of engineers, product managers, and business professionals who are passionate about making verifications easy for everyone. As a Data Analyst, you will play a critical role in defining, reporting, and monitoring key performance indicators of product areas, and leading deep dives into variations of critical metrics from normal behavior. You will be working closely with the engineering teams to set up tests and perform statistical analysis of experiments, and converting analytical insights into concrete, meaningful recommendations for business or product improvement.Truv's mission is to simplify the verification process, which currently takes 5 to 7 days, and can cost companies billions of dollars. By joining Truv, you will be part of a team that is dedicated to saving billions of dollars for companies and billions of hours for people who are still filling out forms and uploading paystubs. The team at Truv is well-funded by top US-based VC funds and has a strong focus on using cutting-edge tech and building frictionless user experiences.
The company culture at Truv is centered around a distributed team with no plans to start an office anytime soon. The team is passionate about crafting great products and seeing their users delighted by what they build. As a Data Analyst, you will be working remotely and will have the opportunity to collaborate with a talented team of professionals who have built and launched products at Apple, Uber, Facebook, Carta, Venmo, Telegram, and Plaid.
What You Will Do
- Define, report, and monitor key performance indicators of product areas
- Lead deep dives into variations of critical metrics from normal behavior
- Use Python and write SQL queries to improve data pipeline and generate reports
- Build data visualizations using Metabase and Jupyter notebooks as a method of conveying data insights
- Help engineering teams set up tests and perform statistical analysis of experiments
- Convert analytical insights into concrete, meaningful recommendations for business or product improvement
- Communicate findings to various partners and leadership
- Collaborate with cross-functional teams to identify and prioritize key metrics and areas for improvement
- Develop and maintain data pipelines, ensuring data integrity and accuracy
- Stay up-to-date with industry trends and emerging technologies in data analysis and visualization
What We Are Looking For
- 5+ years of experience in analytics, consumer-facing product experience preferred
- Experienced statistician with a track record of setting up and optimizing metrics tracking systems and A/B testing methodologies
- Experience with building and maintaining data pipelines, ensuring data integrity
- Proficient at both SQL and Python
- A track record of leading cross-functional initiatives
- Strong understanding of data visualization tools and techniques
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and adapt to changing priorities
- Strong analytical and problem-solving skills
Nice to Have
- Experience with DAG orchestrators (e.g. Airflow)
- Consumer-facing product experience
- Knowledge of cloud-based data platforms and tools
- Experience with machine learning algorithms and models
Benefits and Perks
- Competitive compensation package
- Opportunity to work with a talented team of professionals
- Flexible remote work arrangements
- Professional development and growth opportunities
- Access to cutting-edge technologies and tools
- Comprehensive health and wellness benefits
- Generous paid time off policy
- Remote stipend and home office setup support
How to Stand Out
- When applying for this role, be sure to highlight your experience with data visualization tools and techniques, as well as your ability to communicate complex data insights to non-technical stakeholders.
- Make sure to review the company's mission and values, and be prepared to discuss how your skills and experience align with Truv's goals and objectives.
- As a remote worker, it's essential to have a strong understanding of how to work independently and collaborate with cross-functional teams.
- Be prepared to provide specific examples of your experience with data pipeline development, metrics tracking, and A/B testing methodologies.
- Don't be afraid to ask questions during the interview process, such as what the typical career path is for a Data Analyst at Truv, or what opportunities are available for professional development and growth.
- When discussing your experience with data analysis and visualization, be sure to highlight any experience you have with cloud-based data platforms and tools, such as AWS or Google Cloud.
- Be prepared to discuss your experience with machine learning algorithms and models, and how you have applied them in previous roles.
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